The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-24"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2811193 (up from 2708885 yesterday: 3.78 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "197159 (up from 190858 yesterday: 3.3 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 7.01



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 905333 36163 4.16 51949 1995 3.99 5.74
Spain 219764 6740 3.16 22524 367 1.66 10.25
Italy 192994 3021 1.59 25969 420 1.64 13.46
France 159952 492 0.31 22279 390 1.78 13.93
Germany 154999 1870 1.22 5760 185 3.32 3.72
United Kingdom 144640 5394 3.87 19567 776 4.13 13.53
Turkey 104912 3122 3.07 2600 109 4.38 2.48
Iran 88194 1168 1.34 5574 93 1.70 6.32
China 83899 15 0.02 4636 0 0.00 5.53
Russia 68622 5849 9.32 615 60 10.81 0.90
Brazil 54043 4007 8.01 3704 373 11.20 6.85
Belgium 44293 1496 3.50 6679 189 2.91 15.08
Canada 44056 770 1.78 2386 145 6.47 5.42
Netherlands 36729 808 2.25 4304 112 2.67 11.72
Switzerland 28677 181 0.64 1589 40 2.58 5.54
India 24530 1453 6.30 780 59 8.18 3.18
Portugal 22797 444 1.99 854 34 4.15 3.75
Ecuador 22719 11536 103.16 576 16 2.86 2.54
Peru 21648 734 3.51 634 62 10.84 2.93
Ireland 18184 577 3.28 1014 220 27.71 5.58
Sweden 17567 812 4.85 2152 131 6.48 12.25
Saudi Arabia 15102 1172 8.41 127 6 4.96 0.84
Austria 15071 69 0.46 530 8 1.53 3.52
Israel 15058 255 1.72 194 2 1.04 1.29
Mexico 12872 1239 10.65 1221 152 14.22 9.49
Japan 12829 461 3.73 345 17 5.18 2.69
Chile 12306 494 4.18 174 6 3.57 1.41
Singapore 12075 897 8.02 12 0 0.00 0.10
Pakistan 11940 785 7.04 253 16 6.75 2.12
Poland 10892 381 3.62 494 40 8.81 4.54
Korea, South 10718 10 0.09 240 0 0.00 2.24
Romania 10417 321 3.18 567 22 4.04 5.44
United Arab Emirates 9281 525 6.00 64 8 14.29 0.69
Belarus 8773 751 9.36 63 3 5.00 0.72
Qatar 8525 761 9.80 10 0 0.00 0.12
Denmark 8408 137 1.66 403 9 2.28 4.79
Indonesia 8211 436 5.61 689 42 6.49 8.39
Ukraine 8125 955 13.32 201 14 7.49 2.47
Norway 7463 62 0.84 199 5 2.58 2.67
Czechia 7273 86 1.20 214 4 1.90 2.94
Philippines 7192 211 3.02 477 15 3.25 6.63
Australia 6677 16 0.24 79 4 5.33 1.18
Serbia 6630 0 0.00 125 0 0.00 1.89
Dominican Republic 5749 206 3.72 267 2 0.75 4.64
Malaysia 5691 88 1.57 96 1 1.05 1.69
Panama 5338 172 3.33 154 8 5.48 2.88
Colombia 4881 320 7.02 225 10 4.65 4.61
Bangladesh 4689 503 12.02 131 4 3.15 2.79
Finland 4395 111 2.59 177 5 2.91 4.03
South Africa 4220 267 6.75 79 4 5.33 1.87
Egypt 4092 201 5.17 294 7 2.44 7.18
Morocco 3758 190 5.33 158 3 1.94 4.20
Luxembourg 3695 30 0.82 85 2 2.41 2.30
Argentina 3607 172 5.01 176 11 6.67 4.88
Algeria 3127 120 3.99 415 8 1.97 13.27
Moldova 3110 184 6.29 84 4 5.00 2.70
Thailand 2907 68 2.40 51 1 2.00 1.75
Kuwait 2614 215 8.96 15 1 7.14 0.57
Bahrain 2518 301 13.58 8 0 0.00 0.32
Greece 2490 27 1.10 130 5 4.00 5.22
Kazakhstan 2482 193 8.43 25 5 25.00 1.01
Hungary 2443 159 6.96 262 23 9.62 10.72
Croatia 2009 28 1.41 51 1 2.00 2.54
Uzbekistan 1804 46 2.62 8 1 14.29 0.44
Oman 1790 74 4.31 10 1 11.11 0.56
Iceland 1789 0 0.00 10 0 0.00 0.56
Iraq 1708 31 1.85 86 3 3.61 5.04
Estonia 1605 13 0.82 46 1 2.22 2.87
Armenia 1596 73 4.79 27 3 12.50 1.69
Azerbaijan 1592 44 2.84 21 1 5.00 1.32
New Zealand 1461 5 0.34 18 1 5.88 1.23
Cameroon 1430 96 7.20 43 0 0.00 3.01
Bosnia and Herzegovina 1421 8 0.57 55 1 1.85 3.87
Lithuania 1410 12 0.86 40 0 0.00 2.84
Slovenia 1373 7 0.51 80 1 1.27 5.83
Slovakia 1360 35 2.64 17 2 13.33 1.25
Afghanistan 1351 72 5.63 43 1 2.38 3.18
North Macedonia 1326 26 2.00 57 1 1.79 4.30
Cuba 1285 50 4.05 49 6 13.95 3.81
Ghana 1279 125 10.83 10 1 11.11 0.78
Bulgaria 1234 137 12.49 54 2 3.85 4.38
Nigeria 1095 114 11.62 32 1 3.23 2.92
Cote d’Ivoire 1077 73 7.27 14 0 0.00 1.30

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 271590 8130 3.09 21411 438 2.09 7.88 13960.94 1100.62 1 in 72
New Jersey 102196 2171 2.17 5683 257 4.74 5.56 11505.72 639.82 1 in 87
Massachusetts 50969 4946 10.75 2556 196 8.31 5.01 7334.19 367.80 1 in 136
California 41355 1794 4.53 1621 88 5.74 3.92 1046.64 41.03 1 in 955
Pennsylvania 40208 1829 4.77 1747 23 1.33 4.34 3140.76 136.46 1 in 318
Illinois 39658 2721 7.37 1795 107 6.34 4.53 3129.62 141.65 1 in 320
Michigan 36641 1345 3.81 3085 108 3.63 8.42 3668.92 308.91 1 in 273
Florida 30533 885 2.99 1046 59 5.98 3.43 1421.61 48.70 1 in 703
Louisiana 26140 401 1.56 1660 61 3.81 6.35 5622.96 357.08 1 in 178
Connecticut 23936 836 3.62 1767 128 7.81 7.38 6713.63 495.61 1 in 149
Texas 23642 992 4.38 624 20 3.31 2.64 815.36 21.52 1 in 1226
Georgia 22491 608 2.78 899 18 2.04 4.00 2118.31 84.67 1 in 472
Maryland 16616 879 5.59 798 50 6.68 4.80 2748.41 132.00 1 in 364
Ohio 15169 475 3.23 690 34 5.18 4.55 1297.70 59.03 1 in 771
Indiana 13681 642 4.92 741 35 4.96 5.42 2032.17 110.07 1 in 492
Washington 12977 224 1.76 722 11 1.55 5.56 1704.16 94.81 1 in 587
Colorado 12256 978 8.67 674 122 22.10 5.50 2128.24 117.04 1 in 470
Virginia 11594 596 5.42 411 38 10.19 3.54 1358.32 48.15 1 in 736
Tennessee 8728 462 5.59 169 -2 -1.17 1.94 1277.30 24.73 1 in 783
North Carolina 8290 470 6.01 294 13 4.63 3.55 790.42 28.03 1 in 1265
Missouri 6788 282 4.33 272 20 7.94 4.01 1106.00 44.32 1 in 904
Rhode Island 6699 443 7.08 202 13 6.88 3.02 6323.62 190.68 1 in 158
Arizona 6045 273 4.73 266 17 6.83 4.40 793.84 34.93 1 in 1260
Alabama 6026 194 3.33 209 7 3.47 3.47 1229.00 42.63 1 in 814
Mississippi 5434 281 5.45 209 8 3.98 3.85 1825.85 70.22 1 in 548
Wisconsin 5356 304 6.02 263 5 1.94 4.91 919.89 45.17 1 in 1087
South Carolina 5070 153 3.11 157 7 4.67 3.10 984.71 30.49 1 in 1016
Iowa 4445 521 13.28 107 11 11.46 2.41 1408.84 33.91 1 in 710
Nevada 4398 190 4.52 197 2 1.03 4.48 1427.85 63.96 1 in 700
Utah 3782 170 4.71 39 4 11.43 1.03 1179.68 12.16 1 in 848
Kentucky 3779 300 8.62 200 9 4.71 5.29 845.85 44.77 1 in 1182
District of Columbia 3528 167 4.97 153 14 10.07 4.34 4998.94 216.79 1 in 200
Delaware 3442 134 4.05 100 8 8.70 2.91 3534.74 102.69 1 in 283
Minnesota 3185 243 8.26 221 21 10.50 6.94 564.75 39.19 1 in 1771
Oklahoma 3121 104 3.45 188 9 5.03 6.02 788.73 47.51 1 in 1268
Kansas 2959 238 8.75 118 5 4.42 3.99 1015.68 40.50 1 in 985
Arkansas 2810 211 8.12 47 2 4.44 1.67 931.13 15.57 1 in 1074
New Mexico 2521 142 5.97 84 6 7.69 3.33 1202.29 40.06 1 in 832
Nebraska 2424 222 10.08 50 3 6.38 2.06 1253.10 25.85 1 in 798
Oregon 2177 50 2.35 86 3 3.61 3.95 516.15 20.39 1 in 1937
South Dakota 2040 84 4.29 10 1 11.11 0.49 2305.97 11.30 1 in 434
Idaho 1870 34 1.85 54 0 0.00 2.89 1043.49 30.13 1 in 958
New Hampshire 1720 50 2.99 53 2 3.92 3.08 1264.97 38.98 1 in 791
Puerto Rico 1276 -140 -9.89 77 8 11.59 6.03 399.54 24.11 1 in 2503
West Virginia 1010 29 2.96 32 1 3.23 3.17 565.15 17.91 1 in 1769
Maine 965 28 2.99 47 3 6.82 4.87 717.89 34.96 1 in 1393
Vermont 827 2 0.24 44 1 2.33 5.32 1325.34 70.51 1 in 755
North Dakota 748 39 5.50 15 0 0.00 2.01 981.55 19.68 1 in 1019
Hawaii 601 5 0.84 13 1 8.33 2.16 424.47 9.18 1 in 2356
Wyoming 473 20 4.42 7 0 0.00 1.48 817.27 12.09 1 in 1224
Montana 444 2 0.45 14 0 0.00 3.15 415.43 13.10 1 in 2407
Alaska 339 2 0.59 9 0 0.00 2.65 463.40 12.30 1 in 2158

US Tested- Confirmed- Hospitalized Funnel (All States)

State Level Figures

State Tested Confirmed Hospitalized ConfirmationRate HospitalizationRate TestsPerMillPopl
New York 730656 271590 57103 37.17 21.03 37558.98
New Jersey 205962 102196 6847 49.62 6.70 23188.20
Massachusetts 215213 50969 4752 23.68 9.32 30968.11
California 494173 41355 4880 8.37 11.80 12506.84
Pennsylvania 186143 40208 2746 21.60 6.83 14540.16
Illinois 189632 39658 4828 20.91 12.17 14964.86
Michigan 136296 36641 3022 26.88 8.25 13647.54
Florida 319038 30533 5009 9.57 16.41 14854.36
Louisiana 143716 26140 1697 18.19 6.49 30914.68
Connecticut 74038 23936 1877 32.33 7.84 20766.35
Texas 242547 23642 1674 9.75 7.08 8364.88
Georgia 107520 22491 4322 20.92 19.22 10126.75
Maryland 84716 16616 3618 19.61 21.77 14012.65
Ohio 107109 15169 3053 14.16 20.13 9163.15
Indiana 75553 13681 NA 18.11 NA 11222.60
Washington 160324 12977 455 8.09 3.51 21054.01
Colorado 56789 12256 2366 21.58 19.30 9861.37
Virginia 69440 11594 1837 16.70 15.84 8135.42
Tennessee 131328 8728 808 6.65 9.26 19219.18
North Carolina 100584 8290 477 8.24 5.75 9590.31
Missouri 67017 6788 877 10.13 12.92 10919.39
Rhode Island 47257 6699 576 14.18 8.60 44608.97
Arizona 60714 6045 984 9.96 16.28 7973.06
Alabama 52889 6026 769 11.39 12.76 10786.66
Mississippi 55670 5434 970 9.76 17.85 18705.38
Wisconsin 59929 5356 1353 8.94 25.26 10292.77
South Carolina 46996 5070 944 10.79 18.62 9127.72
Iowa 31973 4445 278 13.90 6.25 10133.85
Nevada 36192 4398 NA 12.15 NA 11750.05
Utah 84697 3782 315 4.47 8.33 26418.62
Kentucky 44962 3779 1143 8.40 30.25 10063.85
District of Columbia 16533 3528 402 21.34 11.39 23426.18
Delaware 17379 3442 277 19.81 8.05 17847.24
Minnesota 53787 3185 756 5.92 23.74 9537.32
Oklahoma 53012 3121 637 5.89 20.41 13397.12
Kansas 23588 2959 457 12.54 15.44 8096.62
Arkansas 35578 2810 291 7.90 10.36 11789.29
New Mexico 51510 2521 412 4.89 16.34 24565.67
Nebraska 19973 2424 NA 12.14 NA 10325.12
Oregon 45492 2177 520 4.79 23.89 10785.88
South Dakota 14824 2040 124 13.76 6.08 16756.74
Idaho 19361 1870 168 9.66 8.98 10803.74
New Hampshire 17727 1720 224 9.70 13.02 13037.33
Puerto Rico 10589 1276 NA 12.05 NA 3315.60
West Virginia 29811 1010 97 3.39 9.60 16680.78
Maine 17749 965 152 5.44 15.75 13204.02
Vermont 14310 827 32 5.78 3.87 22933.10
North Dakota 17449 748 67 4.29 8.96 22897.09
Hawaii 28040 601 67 2.14 11.15 19804.05
Wyoming 8045 473 54 5.88 11.42 13900.43
Montana 12127 444 59 3.66 13.29 11346.60
Alaska 12281 339 36 2.76 10.62 16787.76

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 6817 390 6.07 957 14.04 5559 301 18 6.36 4.42
Gujarat 3071 447 17.04 282 9.18 2656 133 21 18.75 4.33
Delhi 2514 138 5.81 857 34.09 1604 53 3 6.00 2.11
Rajasthan 2061 97 4.94 493 23.92 1535 33 5 17.86 1.60
Madhya Pradesh 1945 258 15.29 281 14.45 1565 99 16 19.28 5.09
Tamil Nadu 1821 138 8.20 960 52.72 838 23 3 15.00 1.26
Uttar Pradesh 1793 283 18.74 261 14.56 1505 27 3 12.50 1.51
Andhra Pradesh 1016 123 13.77 171 16.83 814 31 4 14.81 3.05
Telangana 983 13 1.34 291 29.60 667 25 0 0.00 2.54
West Bengal 571 57 11.09 103 18.04 450 18 3 20.00 3.15
Karnataka 500 55 12.36 158 31.60 324 18 1 5.88 3.60
Jammu and Kashmir 494 60 13.82 112 22.67 376 6 1 20.00 1.21
Kerala 458 11 2.46 338 73.80 116 4 2 100.00 0.87
Punjab 308 25 8.83 72 23.38 219 17 0 0.00 5.52
Haryana 287 17 6.30 191 66.55 93 3 0 0.00 1.05
Bihar 242 72 42.35 45 18.60 195 2 0 0.00 0.83
Odisha 94 4 4.44 33 35.11 60 1 0 0.00 1.06
Jharkhand 63 10 18.87 8 12.70 52 3 0 0.00 4.76
Uttarakhand 48 1 2.13 26 54.17 22 0 0 NaN 0.00
Himachal Pradesh 40 0 0.00 21 52.50 17 2 0 0.00 5.00
Chhattisgarh 37 1 2.78 32 86.49 5 0 0 NaN 0.00
Assam 36 0 0.00 19 52.78 16 1 0 0.00 2.78
Andaman and Nicobar Islands 33 11 50.00 11 33.33 22 0 0 NaN 0.00
Chandigarh 28 1 3.70 15 53.57 13 0 0 NaN 0.00
Ladakh 20 2 11.11 16 80.00 4 0 0 NaN 0.00
Meghalaya 12 0 0.00 0 0.00 11 1 0 0.00 8.33
Puducherry 8 1 14.29 4 50.00 4 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 314298 71256 1091 1.55 22.67 8791 756 34368 13106 18.39
Emilia-Romagna 151505 23970 247 1.04 15.82 2807 264 12509 3303 13.78
Piemonte 125300 23822 682 2.95 19.01 2918 257 15391 2699 11.33
Veneto 296896 17229 348 2.06 5.80 1159 130 9679 1244 7.22
Toscana 121336 8877 97 1.10 7.32 738 159 6133 742 8.36
Liguria 39563 7173 124 1.76 18.13 760 87 3437 1076 15.00
Lazio 114317 6132 78 1.29 5.36 1396 184 4492 384 6.26
Marche 49163 6028 76 1.28 12.26 705 61 3273 865 14.35
Campania 61331 4282 44 1.04 6.98 524 44 2943 336 7.85
Puglia 52472 3881 42 1.09 7.40 496 51 2933 383 9.87
P.A. Trento 29779 3776 49 1.31 12.68 224 28 1827 389 10.30
Sicilia 65165 2981 55 1.88 4.57 461 32 2320 218 7.31
Friuli Venezia Giulia 55502 2882 24 0.84 5.19 136 16 1320 258 8.95
Abruzzo 32397 2803 18 0.65 8.65 327 28 2079 286 10.20
P.A. Bolzano 35062 2456 21 0.86 7.00 148 16 1093 263 10.71
Umbria 30524 1363 1 0.07 4.47 94 19 322 62 4.55
Sardegna 19889 1257 3 0.24 6.32 95 19 804 102 8.11
Valle d’Aosta 5262 1100 4 0.36 20.90 88 7 354 129 11.73
Calabria 28764 1079 10 0.94 3.75 123 7 821 80 7.41
Basilicata 9026 360 4 1.12 3.99 59 7 229 24 6.67
Molise 4805 287 3 1.06 5.97 19 1 200 20 6.97

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 22616 778 3.56 1340 97 7.80 5.93 2648.97 156.95 1 in 378
Ontario 14550 482 3.43 862 56 6.95 5.92 989.00 58.59 1 in 1011
Alberta 4017 297 7.98 72 4 5.88 1.79 910.24 16.31 1 in 1099
British Columbia 1853 29 1.59 98 4 4.26 5.29 362.56 19.17 1 in 2758
Saskatchewan 341 10 3.02 4 0 0.00 1.17 288.58 3.39 1 in 3465
Manitoba 263 1 0.38 6 0 0.00 2.28 190.92 4.36 1 in 5238
Newfoundland and Labrador 256 0 0.00 3 0 0.00 1.17 491.02 5.75 1 in 2037
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1585 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1035 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 930 13 1.40
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 641 7 1.09
Beijing 593 8 1.35
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 286 3 1.05
Guangxi 254 2 0.79
Inner Mongolia 197 1 0.51
Shanxi 197 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 109 1 0.92
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2766.91 158.77 1 in 361
Spain 4709.90 482.73 1 in 212
Italy 3191.04 429.38 1 in 313
France 2387.70 332.57 1 in 419
Germany 1872.19 69.57 1 in 534
United Kingdom 2177.00 294.51 1 in 459
Turkey 1298.26 32.17 1 in 770
Iran 1086.67 68.68 1 in 920
China 60.53 3.34 1 in 16520
Russia 474.89 4.26 1 in 2106
Brazil 258.21 17.70 1 in 3873
Belgium 3885.35 585.88 1 in 257
Canada 1172.01 63.47 1 in 853
Netherlands 2137.89 250.52 1 in 468
Switzerland 3346.21 185.41 1 in 299
India 18.32 0.58 1 in 54586
Portugal 2215.45 82.99 1 in 451
Ecuador 1366.97 34.66 1 in 732
Peru 672.93 19.71 1 in 1486
Ireland 3764.80 209.94 1 in 266

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 150473 16646 11.06
Nassau New York 32765 1518 4.63
Suffolk New York 30606 993 3.24
Cook Illinois 27616 1220 4.42
Westchester New York 26633 891 3.35
Los Angeles California 18545 850 4.58
Wayne Michigan 15407 1443 9.37
Bergen New Jersey 14363 934 6.50
Hudson New Jersey 13011 706 5.43
Essex New Jersey 12110 975 8.05
Philadelphia Pennsylvania 11877 449 3.78
Middlesex Massachusetts 11681 428 3.66
Union New Jersey 11208 542 4.84
Miami-Dade Florida 10926 287 2.63
Suffolk Massachusetts 10724 285 2.66
Passaic New Jersey 10291 383 3.72
Fairfield Connecticut 10227 662 6.47
Rockland New York 10091 453 4.49
Middlesex New Jersey 9789 413 4.22
Orange New York 7155 274 3.83
Essex Massachusetts 6841 245 3.58
Oakland Michigan 6804 585 8.60
New Haven Connecticut 6286 396 6.30
Orleans Louisiana 6286 392 6.24
Jefferson Louisiana 5985 323 5.40
King Washington 5637 393 6.97
Ocean New Jersey 5612 301 5.36
Harris Texas 5482 84 1.53
Monmouth New Jersey 5368 273 5.09
Macomb Michigan 5022 504 10.04
Norfolk Massachusetts 4979 290 5.82
Morris New Jersey 4716 340 7.21
Providence Rhode Island 4603 0 0.00
Broward Florida 4591 162 3.53
Hartford Connecticut 4570 511 11.18
Marion Indiana 4537 238 5.25
Prince George’s Maryland 4403 158 3.59
Worcester Massachusetts 4227 133 3.15
Plymouth Massachusetts 4160 141 3.39
District of Columbia District of Columbia 3528 153 4.34
Montgomery Pennsylvania 3525 208 5.90
Clark Nevada 3443 168 4.88
Riverside California 3315 112 3.38
Montgomery Maryland 3227 154 4.77
Maricopa Arizona 3116 120 3.85
Mercer New Jersey 3086 178 5.77
Hampden Massachusetts 3060 244 7.97
Delaware Pennsylvania 3055 129 4.22
Somerset New Jersey 2921 198 6.78
Dallas Texas 2834 77 2.72

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc